• DocumentCode
    3523607
  • Title

    Multiple maneuvering target data association based on genetic algorithms

  • Author

    Wang, Jianhua ; Liu, Weiting ; Wan, Min ; Zhan, Sing ; Wang, Jian

  • Author_Institution
    Res. Inst. of Electron. Eng., Harbin Inst. of Technol., China
  • Volume
    2
  • fYear
    2005
  • fDate
    21-23 Feb. 2005
  • Firstpage
    1011
  • Abstract
    This paper studies the problem of data association in multiple maneuvering targets locating and tracking. Genetic algorithm is used successfully in solving the complex optimization and the industrial engineering problem. Recently researching on genetic algorithm has attracted a lot of attention. This paper puts forward a way of using genetic algorithms to resolve the problem of multiple target data association. The simulation results show that the algorithm used in this paper is able to avoid the local extremum and the outcome is satisfactory.
  • Keywords
    genetic algorithms; probability; target tracking; data association; genetic algorithm; multiple maneuvering target location; multiple maneuvering target tracking; Covariance matrix; Equations; Genetic algorithms; Industrial engineering; Joining processes; Neural networks; Noise measurement; Particle measurements; Probability; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology, 2005, ICACT 2005. The 7th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICACT.2005.246130
  • Filename
    1462954